Shasha Yuan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Matrix Factorization

Robust Principal Component Analysis

Learned Dictionary

Differentially Expressed Genes

Top Venues

Int. J. Neural Syst.

IEEE J. Biomed. Health Informatics

Publications

Qingwei Jia, Jin-Xing Liu, Junling Shang, Lingyun Dai, Yuxia Wang, Wenrong Hu, Shasha Yuan
Seizure Types Classification Based on Multi-branch Hybrid Deep Learning Network. ICIC (4) (2024)
Wenrong Hu, Junliang Shang, Juan Wang, Jin-Xing Liu, Yuxia Wang, Shasha Yuan
Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal. ICIC (LNBI 1) (2024)
Xingchen Dong, Yiming Wen, Dezan Ji, Shasha Yuan, Zhen Liu, Wei Shang, Weidong Zhou
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model. Int. J. Neural Syst. 34 (3) (2024)
Jie Xu, Shasha Yuan, Junliang Shang, Juan Wang, Kuiting Yan, Yankai Yang
Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Yanfei Guo, Hangli Du, Yuanke Zhang, Fei Ma, Jing Meng, Shasha Yuan
CMNet: Cascaded context fusion and multi-attention network for multiple lesion segmentation of diabetic retinopathy images. Biomed. Signal Process. Control. 94 (2024)
Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (3) (2024)
Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. J. Comput. Biol. 31 (6) (2024)
Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics 27 (5) (2023)
Shasha Yuan, Xiang Liu, Junliang Shang, Jin-Xing Liu, Juan Wang, Weidong Zhou
Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. IEEE J. Biomed. Health Informatics 27 (3) (2023)
Juan Wang, Lin-Ping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Yankai Yang, Juan Wang, Jie Xu, Kuiting Yan, Shasha Yuan
Epileptic EEG Signal Detection based on Uncorrelated Multilinear Principal Component Analysis and Metric Learning. BIBM (2023)
Jie Xu, Juan Wang, Jin-Xing Liu, Junliang Shang, Lingyun Dai, Kuiting Yan, Shasha Yuan
Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism. ICIC (2) (2023)
Kuiting Yan, Junliang Shang, Juan Wang, Jie Xu, Shasha Yuan
Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram. ICIC (2) (2023)
Ying-Lian Gao, Qian Qiao, Juan Wang, Shasha Yuan, Jin-Xing Liu
BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu
Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection. J. Comput. Biol. 30 (8) (2023)
Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA (2023)
Juan Wang, Li-Hong Wang, Tian-Jing Qiao, Shasha Yuan
A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data. BIBM (2022)
Juan Wang, Cong-Hai Lu, Xiang-Zhen Kong, Ling-Yun Dai, Shasha Yuan, Xiaofeng Zhang
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. BMC Bioinform. (12) (2022)
Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu
A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data. ISBRA (2022)
Delu Ma, Shasha Yuan, Junliang Shang, Jin-Xing Liu, Lingyun Dai, Xiangzhen Kong, Fangzhou Xu
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. Int. J. Neural Syst. 31 (5) (2021)
He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA (2021)
Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Juan Wang, Shasha Yuan
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations. J. Comput. Sci. Technol. 36 (2) (2021)
Qian Qiao, Ying-Lian Gao, Shasha Yuan, Jin-Xing Liu
Robust Tensor Method Based on Correntropy and Tensor Singular Value Decomposition for Cancer Genomics Data. BIBM (2021)
Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Rong Zhu, Shasha Yuan
LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring. IEEE J. Biomed. Health Informatics 24 (5) (2020)
Shasha Yuan, Jin-Xing Liu, Junliang Shang, Fangzhou Xu, Lingyun Dai, Xiangzhen Kong
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. BIBM (2020)
Wenwen Fan, Junliang Shang, Feng Li, Yan Sun, Shasha Yuan, Jin-Xing Liu
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method. BMC Bioinform. 21 (1) (2020)
Zuyi Yu, Weiwei Nie, Weidong Zhou, Fangzhou Xu, Shasha Yuan, Yan Leng, Qi Yuan
Epileptic seizure prediction based on local mean decomposition and deep convolutional neural network. J. Supercomput. 76 (5) (2020)
Xinmei Hu, Shasha Yuan, Fangzhou Xu, Yan Leng, Kejiang Yuan, Qi Yuan
Scalp EEG classification using deep Bi-LSTM network for seizure detection. Comput. Biol. Medicine 124 (2020)
Yu-Ying Zhao, Mao-Li Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong
Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. BIBM (2020)
Yu Song, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM (2020)
Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiang-Zhen Kong
Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. 78 (2019)
Zuyi Yu, Weidong Zhou, Fan Zhang, Fangzhou Xu, Shasha Yuan, Yan Leng, Yang Li, Qi Yuan
Automatic seizure detection based on kernel robust probabilistic collaborative representation. Medical Biol. Eng. Comput. 57 (1) (2019)
Juan Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shasha Yuan, Ling-Yun Dai
Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. 78 (2019)
Sen Gu, Sheng Su, Cheng Huang, Zhiqiang Song, Shasha Yuan
A JACK-Based Ergonomic Analysis and Design of the Cockpit of Agricultural Material Handling Vehicle. AHFE (4) (2019)
Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan
L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions. BMC Bioinform. (8) (2019)
Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Xiang-Zhen Kong, Mi-Xiao Hou, Shasha Yuan
Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples. BIBM (2018)
Shasha Wu, Mi-Xiao Hou, Jin-Xing Liu, Juan Wang, Shasha Yuan
Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data. ICIC (2) (2018)
Shasha Yuan, Weidong Zhou, Liyan Chen
Epileptic Seizure Prediction Using Diffusion Distance and Bayesian Linear Discriminate Analysis on Intracranial EEG. Int. J. Neural Syst. 28 (1) (2018)
Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan, Ying Guo
A Fast Quantum Clustering Approach for Cancer Gene Clustering. BIBM (2018)
Shasha Yuan, Weidong Zhou, Junhui Li, Qi Wu
Sparse representation-based EMD and BLDA for automatic seizure detection. Medical Biol. Eng. Comput. 55 (8) (2017)
Hai-Qiang Zhang, Shasha Yuan
-dark vector soliton solution for multi-component defocusing Hirota system in optical fiber media. Commun. Nonlinear Sci. Numer. Simul. 51 (2017)
Xiu-Xiu Xu, Ying-Lian Gao, Jin-Xing Liu, Yaxuan Wang, Ling-Yun Dai, Xiang-Zhen Kong, Shasha Yuan
A novel low-rank representation method for identifying differentially expressed genes. Int. J. Data Min. Bioinform. 19 (3) (2017)
Shasha Yuan, Weidong Zhou, Qi Wu, Yanli Zhang
Epileptic Seizure Detection with Log-Euclidean Gaussian Kernel-Based Sparse Representation. Int. J. Neural Syst. 26 (3) (2016)
Junhui Li, Weidong Zhou, Shasha Yuan, Yanli Zhang, Chengcheng Li, Qi Wu
An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection. Int. J. Neural Syst. 26 (1) (2016)
Chengcheng Li, Weidong Zhou, Shasha Yuan
Iris recognition based on a novel variation of local binary pattern. Vis. Comput. 31 (10) (2015)
Yanli Zhang, Weidong Zhou, Shasha Yuan
Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG. Int. J. Neural Syst. 25 (6) (2015)
Shasha Yuan, Weidong Zhou, Qi Yuan, Xueli Li, Qi Wu, Xiuhe Zhao, Jiwen Wang
Kernel Collaborative Representation-Based Automatic Seizure Detection in Intracranial EEG. Int. J. Neural Syst. 25 (2) (2015)
Qi Yuan, Weidong Zhou, Shasha Yuan, Xueli Li, Jiwen Wang, Guijuan Jia
Epileptic EEG Classification Based on Kernel Sparse Representation. Int. J. Neural Syst. 24 (4) (2014)